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CybersecuritySecurity NewswireCybersecurity News

Purdue University Team Creates a Detection System to Alert Organizations to Cyberattacks

SEC0519-Cyber-Feat-slide1_900px
February 10, 2020

A new tool from Purdue University researchers may help stop cyberattacks. The Purdue team created a detection system to alert organizations to cyberattacks. The system is called LIDAR – which stands for lifelong, intelligent, diverse, agile and robust.

“The name for this architecture for network security really defines its significant attributes,” said Aly El Gamal, an assistant professor of electrical and computer engineering in Purdue’s College of Engineering. “Our system is robust and able to adapt to different environments through lifelong learning.”

El Gamal created the technology with Arif Ghafoor, a professor in electrical and computer engineering, and Ali Elghariani, a graduate of electrical and computer engineering, says a Purdue press release. 

According to the release, LIDAR can be used for computer systems and networks, including wireless networks. In addition, the system works with preprocessing components that are designed to be resilient to adversarial attacks and a cross-layer feature extraction mechanism for wireless networks. The  system is made up of three main parts: supervised machine learning, unsupervised machine learning and rule-based learning.

“One of the fascinating things about LIDAR is that the rule-based learning component really serves as the brain for the operation,” El Gamal said. “That component takes the information from the other two parts and decides the validity of a potential attack and necessary steps to move forward.”

The supervised machine-learning component uses an algorithm to compare abnormalities detected in the system to known attack templates, notes the release. The unsupervised component uses an algorithm to detect any anomalies in the overall system being monitored and uses a novel curiosity-driven honeypot, which lures attackers but does not let them infiltrate the system.

The innovators are working with the Purdue Research Foundation Office of Technology Commercialization to patent the technology. The researchers are also looking for partners to continue developing their technology and create prototypes. 

KEYWORDS: computer security cyber security cybersecurity machine learning

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